基于Gabor小波变换和神经网络算法的人脸智能自动识别方法  

Automatic Face Intelligent Recognition Method Based on Gabor Wavelet Transform and Neural Network Algorithm

作　　者：李爱华 LI Aihua(Sichuan Technology and Business University,Chengdu Sichuan 610000,China)

机构地区：[1]四川工商学院,四川成都610000

出　　处：《信息与电脑》2023年第14期194-196,共3页Information & Computer

摘　　要：常规人脸智能识别方法使用Fused-MBConv结构生成智能识别参数,易受输入图像的浅层特征影响,导致人脸识别准确率较低,为此提出基于Gabor小波变换和神经网络算法的人脸智能识别方法。为验证该方法的识别效果,将其与其他人脸智能自动识别方法进行对比。实验结果表明,该方法的识别率较高,具有一定的应用价值。Conventional facial intelligent recognition methods use the Fused-MBConv structure to generate intelligent recognition parameters,which are easily affected by the shallow features of the input image,resulting in low facial recognition rates.Therefore,a facial intelligent recognition method based on Gabor wavelet transform and neural network algorithm is proposed.To verify the recognition effect of this method,it is compared with other facial intelligent automatic recognition methods.The experimental results show that the recognition rate of this method is high and has certain application value.

关 键 词：GABOR小波变换 神经网络算法 人脸 智能 自动识别 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]